Basketball in Mexico, despite its popularity, shows a significant gap in the application of technology for strategic analysis. In professional practice, there are limited tools that optimize tactical planning and account for determining psychological factors such as emotions. This work presents the development of a basketball play design and simulation system that integrates an affective-cognitive model based on the OCC theory (Ortony, Clore, and Collins), which models the impact of players’ emotional states on the execution and outcome of plays. Implemented as a desktop application in Processing 4.0, the system allows users to design trajectories, assign roles, and configure an emotional scenario (fear, confidence, anxiety, anger, frustration, joy, and sadness) to simulate its influence on the probability of a shot’s success. The prototype’s modular architecture includes data capture, play schematization, environment design, emotion modeling, and visual simulation. The results show a functional prototype that predicts one of four possible outcomes for a shot (Scored, Close, Rimmed, Missed) based on the emotional configuration and external factors such as prior training or the pressure of a decisive moment. It is concluded that integrating cognitive models into sports simulation tools provides a valuable resource for training, enabling deeper analysis that goes beyond simple physical execution and enters the psychological dimension of performance.
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